Locate and identify
This recipe explores how to analyze a corpus for the locations that are written about within it. These results can be mapped to visualize the spatial focus of the corpus. This recipe is based off of an iPython notebook by Matthew Wilkins.
This recipe uses Collocation and Co-occurrence tools to explore the syntactic dependencies within the textual construction.
This is a recipe to identify simple themes within a text using Concordance, Collocation and List Word tools.
This recipe examines a text in a language in which you are not fluent and demonstrates a strategic approach to comprehension using text analysis tools.
This recipe uses Frequency lists, Concordance and Collocation to efficiently explore information from the web that has been made into an Aggregate text for a particular topic.
This recipe demonstrates how to use the command line 'Grep' command and regular expressions to find patterns within a plain text file.
This recipe extracts and examines a character’s dialogue from a play to explore a particular discourse in a linear fashion.
This recipe takes a text and explores the tenses and senses of word usage by combining the use of a sense finding service, the Concordance and Collocation Tools.
This is a recipe for identifying simple themes within a text by generating word lists, identifying synonyms and antonyms for words of interest, and exploring the final word list as they appear in Context via Concordance and Collocation tools.
This recipe uses an Aggregate Text tool to generate Dynamically Aggregated Text, and uses tools such as a frequency list and Concordance to explore the results.